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  1. 00716/img-mean-std-00716002.npy +3 -0
  2. 00716/img-mean-std-00716005.npy +3 -0
  3. 00716/img-mean-std-00716045.npy +3 -0
  4. 00716/img-mean-std-00716079.npy +3 -0
  5. 00716/img-mean-std-00716093.npy +3 -0
  6. 00716/img-mean-std-00716121.npy +3 -0
  7. 00716/img-mean-std-00716126.npy +3 -0
  8. 00716/img-mean-std-00716153.npy +3 -0
  9. 00716/img-mean-std-00716182.npy +3 -0
  10. 00716/img-mean-std-00716231.npy +3 -0
  11. 00716/img-mean-std-00716236.npy +3 -0
  12. 00716/img-mean-std-00716276.npy +3 -0
  13. 00716/img-mean-std-00716295.npy +3 -0
  14. 00716/img-mean-std-00716312.npy +3 -0
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  16. 00716/img-mean-std-00716327.npy +3 -0
  17. 00716/img-mean-std-00716355.npy +3 -0
  18. 00716/img-mean-std-00716369.npy +3 -0
  19. 00716/img-mean-std-00716384.npy +3 -0
  20. 00716/img-mean-std-00716418.npy +3 -0
  21. 00716/img-mean-std-00716423.npy +3 -0
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  23. 00716/img-mean-std-00716451.npy +3 -0
  24. 00716/img-mean-std-00716463.npy +3 -0
  25. 00716/img-mean-std-00716464.npy +3 -0
  26. 00716/img-mean-std-00716480.npy +3 -0
  27. 00716/img-mean-std-00716540.npy +3 -0
  28. 00716/img-mean-std-00716547.npy +3 -0
  29. 00716/img-mean-std-00716591.npy +3 -0
  30. 00716/img-mean-std-00716596.npy +3 -0
  31. 00716/img-mean-std-00716625.npy +3 -0
  32. 00716/img-mean-std-00716650.npy +3 -0
  33. 00716/img-mean-std-00716657.npy +3 -0
  34. 00716/img-mean-std-00716681.npy +3 -0
  35. 00716/img-mean-std-00716686.npy +3 -0
  36. 00716/img-mean-std-00716708.npy +3 -0
  37. 00716/img-mean-std-00716734.npy +3 -0
  38. 00716/img-mean-std-00716746.npy +3 -0
  39. 00716/img-mean-std-00716773.npy +3 -0
  40. 00716/img-mean-std-00716774.npy +3 -0
  41. 00716/img-mean-std-00716811.npy +3 -0
  42. 00716/img-mean-std-00716816.npy +3 -0
  43. 00716/img-mean-std-00716818.npy +3 -0
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  46. 00716/img-mean-std-00716935.npy +3 -0
  47. 00716/img-mean-std-00716940.npy +3 -0
  48. 00716/img-mean-std-00716949.npy +3 -0
  49. 00716/img-mean-std-00716972.npy +3 -0
  50. 00716/img-mean-std-00716991.npy +3 -0
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